Publication:

Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence

Date

Date

Date
2024
Dissertation

Citations

Citation copied

Zhakparov, D. (2024). Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-263154

Abstract

Abstract

Abstract

The exponential growth of large-scale datasets in biomedical research, driven by technological advancements, presents significant challenges in data analysis. This thesis explores the application of machine learning (ML) and advanced computational techniques to high-dimensional biomedical data, demonstrating their potential in various domains. The research focuses on four main areas: (1) using ML to combat the COVID-19 pandemic through early detection of SARS-CoV-2 infection and COVID-19 disease outcome prediction, (2) monitoring the

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3 since deposited on 2024-10-16
Acq. date: 2025-11-08

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Acq. date: 2025-11-08

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Creators (Authors)

  • Zhakparov, Damir

Institution

Institution

Institution

Faculty

Faculty

Faculty
Faculty of Science

Item Type

Item Type

Item Type
Dissertation

Referees

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Place of Publication

Place of Publication

Place of Publication
Zürich

Publication date

Publication date

Publication date
2024-10-16

Date available

Date available

Date available
2024-10-16

Number of pages

Number of pages

Number of pages
265

OA Status

OA Status

OA Status
Green

Metrics

Downloads

3 since deposited on 2024-10-16
Acq. date: 2025-11-08

Views

2 since deposited on 2024-10-16
1last week
Acq. date: 2025-11-08

Citations

Citations

Citation copied

Zhakparov, D. (2024). Identification of Relevant Features in Complex Biomedical Datasets Using Artificial Intelligence. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-263154

Green Open Access
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